DocumentCode :
141657
Title :
Cross-domain methods and tools for decision support services based on context sensitivity approach
Author :
Scholze, Stefan ; Stokic, Dragan ; Kotte, O.
Author_Institution :
ATB Bremen, Bremen, Germany
fYear :
2014
fDate :
27-30 July 2014
Firstpage :
588
Lastpage :
593
Abstract :
Main objective of the paper is to create a generic methodology as well as context sensitive services based on an ontological approach, to support decision support across various application domains (e.g, manufacturing, software engineering). It is investigated how context sensitivity can be used in order to achieve high adaptivity of software solutions for decision support within the addressed application domains. This will result in realizing decision support services self-adaptable to the current identified context of users/products/services. The research will be driven by industrial application scenarios for decision support solutions for adapting of product extension services in several manufacturing companies in various sectors and for Quality Assurance of software development projects.
Keywords :
decision support systems; ontologies (artificial intelligence); application domain; context sensitive services; context sensitivity approach; cross-domain methods; decision support services; ontological approach; product context; product extension services; quality assurance; service context; software development projects; user context; Cognition; Context; Context modeling; Data mining; Monitoring; Ontologies; context sensitivity; decision support service; manufacturing; self-adaptivity; software quality assurance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics (INDIN), 2014 12th IEEE International Conference on
Conference_Location :
Porto Alegre
Type :
conf
DOI :
10.1109/INDIN.2014.6945579
Filename :
6945579
Link To Document :
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